As a Senior Software Developer with proficiency in Python and Generative AI, you will act as a technical leader responsible for architecting and deploying production-grade AI systems. Beyond standard coding, this role bridges the gap between AI research and scalable software engineering, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic workflows.

Core Responsibilities

System Architecture & Development: Lead the development of scalable backend systems and robust architectures for platforms powered by artificial intelligence, ensuring high availability and security.
GenAI Implementation: Build and deploy production-scale Agentic AI workflows and multi-model RAG pipelines using frameworks like LangChain or LlamaIndex.
Model Optimization: Fine-tune LLMs using techniques like LoRA or QLoRA and perform prompt engineering to improve model accuracy and efficiency.
API Development: Develop high-performance RESTful or GraphQL APIs (typically using FastAPI or Flask) to integrate AI models with enterprise applications.
Data & MLOps: Implement data ingestion and preprocessing mechanisms, while coordinating LLMOps practices such as model versioning, monitoring, and CI/CD for AI services.
Leadership & Mentorship: Provide technical guidance to junior developers, conduct rigorous code reviews, and foster a collaborative environment adhering to established guidelines.

Technical Skills & Qualifications

Advanced Python: Expert-level proficiency (typically 5-8+ years) in Python, including asynchronous programming (asyncio), OOP, and build patterns.
AI Frameworks: Deep experience with Hugging Face, PyTorch, or TensorFlow, and specialized GenAI libraries like LangGraph or CrewAI.
Vector Databases: Hands-on knowledge of vector search and storage solutions like Pinecone, Weaviate, or FAISS.
Cloud Platforms: Strong experience deploying to cloud environments like AWS, Azure, or GCP.
Data Engineering: Proficiency in data processing libraries such as Pandas and NumPy, and experience with SQL/NoSQL databases.
DevOps: Skilled in Docker, Kubernetes, and CI/CD platforms (e.g., Jenkins, GitHub Actions) to ensure production stability.

Preferred Experience

Industry Experience: 7+ years in software development, with at least 1-2 years specifically passionate about Generative AI or LLM integration.
Education: A Bachelor's degree or equivalent experience, or a Master's degree or equivalent experience in Computer Science, Engineering, or a related STEM field.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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Computer Scientist ( Python )